Lectures related to Election Methods: Desirable Properties

Introduces key concepts in linear algebra, including matrices, operations, and numerical invariants.

Explores advanced physics topics like kinematics in 3D, non-Cartesian coordinates, and practical examples of collisions and snowball fights.

Explores the benefits, challenges, and applications of self-organization in various fields.

Delves into e-voting systems, emphasizing decentralized democracy, election phases, and challenges in ensuring verifiability and security.

Explores the Ford-Fulkerson method for maximal flow and disjoint-set data structures.

Covers Principal Components Analysis, a technique for dimensionality reduction and gene type analysis.